University of Miami · Mathematics & StatisticsAneurysm Insight Lab
Liang Liang · Coral Gables, Florida
Research Focus
Dr. Liang Liang's lab focuses on improving the assessment of rupture risks related to thoracic aortic aneurysms using advanced machine learning techniques. By combining computational biomechanics with clinical data, the lab aims to identify and predict risks associated with smaller aneurysms that currently go unnoticed. Their innovative approach seeks to enhance surgical intervention criteria, ultimately aiming to reduce mortality rates related to this serious cardiovascular condition.
machine learningthoracic aortic aneurysmbiomechanicsrisk assessmentcardiovascular modeling
Research Aims
4AIM 01Develop machine learning models for 3D reconstruction of thoracic aorta geometries.
AIM 02Create real-time stress analysis tools for thoracic aortic aneurysms.
AIM 03Establish a probabilistic risk index that incorporates patient data and uncertainties.
AIM 04Validate models using existing and new patient datasets.
Skills the Lab Values
machine learning3D imaging analysisfinite element analysisdata visualizationclinical data analysis
Output against the department
Publications420top 21% of dept.27th of 131
this lab
most publishedleast published
Citations4.8kbottom 34% of dept.87th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.